Racial differences in the incidence of mental health illness among ovarian cancer patients: An analysis of SEER-Medicare data

Fariha Rahman, Oyomoare L. Osazuwa-Peters, Clare Meernik, Kevin C. Ward, Margaret G. Kuliszewski, Bin Huang, Andrew Berchuck, Thomas Tucker, Maria Pisu, Margaret Liang, Tomi F. Akinyemiju

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Ovarian cancer (OC) patients have an increased risk for a mental health illness (MHI) after their cancer diagnosis, but limited research exists on whether this risk differs by race/ethnicity. Hence, we used SEER-Medicare data to evaluate racial/ethnic differences in MHI incidence among OC patients aged 65+. Methods: Non-Hispanic (NH) Black, NH White, and Hispanic women diagnosed with OC in 2008–2015 without a mental health history 12 months prior to their cancer diagnosis were identified from SEER-Medicare. Cox proportional hazards regression evaluated new MHI incidence in the first five years post diagnosis and the differences by race/ethnicity. Hazard ratios (HR) and 95% confidence intervals (CI) adjusted for demographic/clinical covariates and healthcare access (HCA) dimensions. Results: We identified 5441 OC patients, including 364 NH Black (6.7%), 4982 NH White (91.6%), and 95 Hispanic (1.7%) patients. About 41% of NH White, 33.3% of NH Black, and 37.2% of Hispanic OC patients were diagnosed with MHI during the follow-up period between 2008 and 2016. In the fully adjusted model, NH Black OC patients were less likely to be diagnosed with any MHI (aHR: 0.67, 95% CI: 0.54, 0.82), depression (aHR: 0.66, 95% CI: 0.51, 0.85), and anxiety disorder (aHR: 0.64, 95% CI: 0.49, 0.84), while Hispanic OC patients were less likely to be diagnosed with anxiety disorder (aHR: 0.56, 95% CI: 0.33, 0.95) compared to NH White OC patients. Discussion: NH Black OC patients are less likely to receive a clinical MHI diagnosis compared to NH White OC patients. Further studies on racial differences in MHI incidence after OC diagnosis in primary cohorts are needed to better estimate population-level prevalence less vulnerable to exposure misclassification and to account for patient-level factors impacting MHI.

Original languageEnglish
Article number100323
JournalSSM - Mental Health
Volume6
DOIs
StatePublished - Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors

Funding

This research was funded by the National Institutes of Health/National Cancer Institute (Grant NumberR37CA233777; PI: Dr. Tomi Akinyemiju).The authors acknowledge the helpful assistance provided by the SEER-Medicare reviewers, Information Management System coordinator, and all patients whose valuable data contributed to this study. The collection of cancer incidence data used in this study was supported by the California Department of Public Health pursuant to California Health and Safety Co de Stion 103885; Centers for Disease Control and Prevention's (CDC) National Program of Cancer Registries, under cooperative agreement 1NU58DP007156; the National Cancer Institute's Surveillance, Epidemiology and End Results Program under contract HHSN261201800032Iawarded to the University of California, San Francisco, contract HHSN261201800015Iawarded to the University of Southern California, and contract HHSN261201800009Iawarded to the Public Health Institute. The ideas and opinions expressed herein are those of the author(s) and do not necessarily reflect the opinions of the State of California, Department of Public Health, the National Cancer Institute, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors. The collection of cancer incidence data used in this study was supported by the California Department of Public Health pursuant to California Health and Safety Code Section 103885; Centers for Disease Control and Prevention’s (CDC) National Program of Cancer Registries, under cooperative agreement 1NU58DP007156; the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contract HHSN261201800032I awarded to the University of California, San Francisco, contract HHSN261201800015I awarded to the University of Southern California, and contract HHSN261201800009I awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the author(s) and do not necessarily reflect the opinions of the State of California, Department of Public Health, the National Cancer Institute, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors. This research was funded by the National Institutes of Health/National Cancer Institute (Grant Number R37CA233777; PI: Dr. Tomi Akinyemiju).

FundersFunder number
University of Southern California
National Cancer Institute's Surveillance, Epidemiology and End Results Program
National Cancer Institute’s Surveillance, Epidemiology and End Results Program
Massachusetts Department for Public Health
National Institutes of Health (NIH)
Institute of Public Health
Centers for Disease Control and Prevention1NU58DP007156
Centers for Disease Control and Prevention
National Childhood Cancer Registry – National Cancer InstituteR37CA233777
National Childhood Cancer Registry – National Cancer Institute

    Keywords

    • Healthcare access
    • Mental health
    • Mental health diagnosis
    • Ovarian cancer
    • Racial disparities

    ASJC Scopus subject areas

    • Social Sciences (miscellaneous)
    • Psychology (miscellaneous)

    Fingerprint

    Dive into the research topics of 'Racial differences in the incidence of mental health illness among ovarian cancer patients: An analysis of SEER-Medicare data'. Together they form a unique fingerprint.

    Cite this